An approach for traffic sign recognition

Dat Tien Nguyen; Quan Minh Vu; Thanh Hoang Nguyen; Khai Quang Ho; Phuong Quang Luu; Thanh Huu Duong

doi:10.46223/HCMCOUJS.tech.en.15.1.3350.2025

Authors

Dat Tien Nguyen
Ho Chi Minh City Open University, Ho Chi Minh City
Quan Minh Vu
Ho Chi Minh City Open University, Ho Chi Minh City
Thanh Hoang Nguyen
Ho Chi Minh City Open University, Ho Chi Minh City
Khai Quang Ho
Ho Chi Minh City Open University, Ho Chi Minh City
Phuong Quang Luu
Ho Chi Minh City Open University, Ho Chi Minh City
Thanh Huu Duong thanh.dh@ou.edu.vn
Ho Chi Minh City Open University, Ho Chi Minh City

https://orcid.org/0000-0002-2404-4214

DOI:

https://doi.org/10.46223/HCMCOUJS.tech.en.15.1.3350.2025

Keywords:

FPS; Frame Per Second; mAP; mean Average Precision; NMS; Non-Maximum Suppression; object detection; YOLO; You Only Look One

Abstract

This article presents a model for detecting and recognizing traffic signs based on the YOLO (You Only Look Once) algorithm. Our system can detect traffic signs in real-world scenarios, including prohibitory, stop, no entry, speed limit, regulatory, and hazardous signs. However, there are still some cases where successful recognition is not achieved. Experiments were conducted on a dataset of 29,632 images, yielding % recognition accuracy of 86.8%. The system performs well in practical environments with relatively high accuracy, yet some errors persist during detection.

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